Publicação: EXTRACTION OF SIMPLE ROAD CROSSING
dc.contributor.author | Zanin, R. B. | |
dc.contributor.author | Martins, E. F. O. | |
dc.contributor.author | Vale, G. M. do | |
dc.contributor.author | Dal Poz, A. P. [UNESP] | |
dc.contributor.author | Paparoditis, N. | |
dc.contributor.author | PierrotDeseilligny, M. | |
dc.contributor.author | Mallet, C. | |
dc.contributor.author | Tournaire, O. | |
dc.contributor.institution | Univ Estado Mato Grosso | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2020-12-10T19:32:12Z | |
dc.date.available | 2020-12-10T19:32:12Z | |
dc.date.issued | 2010-01-01 | |
dc.description.abstract | Road crossings of roads are important components of the road network. However, they generally are not explicit in the existing research on extraction of road network. This is due to the wide variety of road crossings may contain. Thus this paper presents a methodology for the extraction of simples road crossings considering the stages of pre-processing that performs a smoothing of the region of crossing, followed by binarization and skeletonization of the region of road crossing. Soon after the methodology proposes a model skeleton to perform a filtering of the spurious structures. Based on the model filtered performs the extraction of the edges of road crossings. The methodology was evaluated for four images with respect to the criterion of completeness and proved to be quite effective in content page 83.5% completeness of the average images. | en |
dc.description.affiliation | Univ Estado Mato Grosso, UNEMAT, Dept Math, Sinop, Brazil | |
dc.description.affiliation | Univ Estado Mato Grosso, UNEMAT, Dept Comp, Colider, Brazil | |
dc.description.affiliation | State Univ Sao Paulo, UNESP, Dept Cartog, Sao Paulo, Brazil | |
dc.description.affiliationUnesp | State Univ Sao Paulo, UNESP, Dept Cartog, Sao Paulo, Brazil | |
dc.description.sponsorship | State University of Sao Paulo (UNESP) | |
dc.description.sponsorship | State University of Mato Grosso (UNEMAT) | |
dc.description.sponsorship | Foundation of Research of State Mato Grosso (FAPEMAT) | |
dc.format.extent | 55-59 | |
dc.identifier.citation | Pcv 2010: Photogrammetric Computer Vision And Image Analysis, Pt Ii. Gottingen: Copernicus Gesellschaft Mbh, v. 38, p. 55-59, 2010. | |
dc.identifier.issn | 2194-9034 | |
dc.identifier.uri | http://hdl.handle.net/11449/196066 | |
dc.identifier.wos | WOS:000345370800011 | |
dc.language.iso | eng | |
dc.publisher | Copernicus Gesellschaft Mbh | |
dc.relation.ispartof | Pcv 2010: Photogrammetric Computer Vision And Image Analysis, Pt Ii | |
dc.source | Web of Science | |
dc.subject | Road Crossing | |
dc.subject | Road Seeds | |
dc.subject | Segmentation of region crossings | |
dc.subject | Skeletonization | |
dc.title | EXTRACTION OF SIMPLE ROAD CROSSING | en |
dc.type | Trabalho apresentado em evento | |
dcterms.rightsHolder | Copernicus Gesellschaft Mbh | |
dspace.entity.type | Publication | |
unesp.department | Cartografia - FCT | pt |